Uncertainty analysis for pedotransfer functions

European Journal of Soil Science - Tập 53 Số 3 - Trang 417-429 - 2002
Budiman Minasny1, A. B. Mc Bratney1
1Department of Agricultural Chemistry and Soil Science, The University of Sydney, Ross St, Building A03, NSW 2006, Australia

Tóm tắt

SummaryBoth empirical and process‐simulation models are useful in predicting the outcome of agricultural management on soil quality and vice versa, and pedotransfer functions have been developed to translate readily available soil information into variables that are needed in the models. The input data are subject to error, and consequently the transfer functions can produce varied outputs. A general approach to quantifying the resulting uncertainty is to use Monte Carlo methods. By sampling repeatedly from the assumed probability distributions of the input variables and evaluating the response of the model, the statistical distribution of the outputs can be estimated. Methods for sampling the probability distribution include simple random sampling, the sectioning method, and Latin hypercube sampling. The Latin hypercube sampling is applied to the quantification of uncertainties in pedotransfer functions of soil strength and soil hydraulic properties. Hydraulic properties predicted using recently developed pedotransfer functions are also used in a model to analyse the uncertainties in the prediction of soil‐water regimes in the field. The uncertainties of hydraulic properties in soil‐water simulation show that the model is sensitive to the soil's moisture state.

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Thông tin xuất bản

European Journal of Soil Science

Tập 53 Số 3

417-429

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